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    題名: Using Quantile Neural Networks to Estimate the Distribution of Enterprise Values for Construction Enterprise
    作者: Yeh, I-Cheng;Liu, Yi-Cheng
    關鍵詞: Quantile regression analysis;neural network;construction enterprise;enterprise value
    日期: 2017-07-04
    上傳時間: 2018-10-04 12:11:44 (UTC+8)
    摘要: In the cases of corporate investment, financing, or transactions, the probability density function of enterprise values may be more useful. This paper proposes a novel method of employing prediction results of the quantile neural networks to build probability density functions with which we may effectively assess enterprise values. Empirical evidence reveals that the estimated cumulative lognormal distribution curves of the Price-to-Book value ratio (PBR) and the data are well-matched. Thus, the corporate market value is also a lognormal distribution. PBR distributions of construction industries are more skewed to the left, implying that enterprise values of construction industries are lower than those of other industries with the same stockholder equity.
    關聯: International Conference on Business and Information (BAI 2017)
    顯示於類別:[土木工程學系暨研究所] 會議論文

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